Atopic Dermatitis in Cameroon: Quality of Life and Psychiatric Comorbidities among Affected Children and Adolescents Running Head: Atopic Dermatitis and Psychiatric Impairments
Bibliographic record
Abstract
Background: The dearth of Cameroonian data on the quality of life (QoL) of patients with atopic dermatitis (AD) prompted this study which aimed to assess the impact of AD on QoL of affected children and adolescents as well as their families, and seek existence of psychiatric comorbidity (depression and anxiety). Methods: We conducted a cross-sectional study from February to May 2015 in Yaoundé, Cameroon. Patients aged 0-16 years, diagnosed with AD by a dermatologist, and whose parents/guardians had given consent were included. Standardized scores and scales were used to assess the severity of the disease, the QoL of patients and families, as well as the presence of depression or anxiety. Results: A total of 53 children were recruited. The median age was 60 months. There were 23 cases of severe AD, 21 of moderate AD and 9 of mild AD. QoL was impaired in 94.3% of cases, moderate in 20 subjects, high in 8 patients and extreme in 2 patients. QoL of the family was impaired in 88.7% of cases, moderate in 16 and high in 7 families. The higher the severity of AD, the more QoL of patients was impaired (r=0,475; p<0.0001), as well as that of families (r=0,365; p=0.007). Alteration in patients’ QoL was linked with that of families (r=0.527; p<0.0001). There were 5 teenagers with mild depression, 2 with mild anxiety, and 1 with moderate anxiety. Conclusion: AD alters the QoL of children and their families.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".